操作化
构造(python库)
期限(时间)
计算机科学
比例(比率)
联想(心理学)
心理学
情报检索
数据科学
管理科学
统计
数学
认识论
工程类
地理
量子力学
物理
哲学
地图学
程序设计语言
心理治疗师
作者
Patricia Cohen,Jacob Cohen,Leona S. Aiken,Stephen G. West
标识
DOI:10.1207/s15327906mbr3403_2
摘要
Abstract Many areas of the behavioral sciences have few measures that are accepted as the standard for the operationalization of a construct. One consequence is that there is hardly ever an articulated and understood framework for the units of the measures that are employed. Without meaningful measurement units, theoretical formulations are limited to statements of the direction of an effect or association, or to effects expressed in standardized units. Thus the long term scientific goal of generation of laws expressing the relationships among variables in scale units is greatly hindered. This article reviews alternative methods of scoring a scale. Two recent journal volumes are surveyed with regard to current scoring practices. Alternative methods of scoring are evaluated against seven articulated criteria representing the information conveyed by each in an illustrative example. Converting scores to the percent of maximum possible score (POMP) is shown to provide useful additional information in many cases.
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